{"id":"W4321472126","doi":"10.48550/arxiv.2302.09193","title":"Copula-based transferable models for synthetic population generation","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Econometrics; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000244922,0.0002226916,0.000266981,0.0003397655,0.0002622177,0.0001431063,0.001856777,0.0003615008,0.000002510764],"category_scores_gemma":[0.00003525742,0.000266286,0.0001881934,0.0004489426,0.00005078096,0.0003812463,0.0004442164,0.0002949331,0.00001658682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548006,"about_ca_system_score_gemma":0.000118797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002386383,"about_ca_topic_score_gemma":0.0001472853,"domain_scores_codex":[0.9985778,0.00009189016,0.0002175386,0.0007730197,0.00007707849,0.000262648],"domain_scores_gemma":[0.9978372,0.0001280337,0.0001489414,0.001669824,0.0001536055,0.00006236795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006738084,0.0000289035,0.00006567213,0.00004885088,0.00001879013,0.000003840432,0.00002473358,0.7393227,0.0000325366,0.2584561,0.0001521923,0.001839017],"study_design_scores_gemma":[0.0002563775,0.00003555606,0.00005393173,0.00004598608,0.00002618411,2.89206e-7,0.00001186988,0.8337556,0.0007834235,0.1647213,0.00007109976,0.0002384156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05985926,0.00006161923,0.9371726,0.0006720972,0.000355948,0.0005366233,0.00002993991,0.001220004,0.00009194206],"genre_scores_gemma":[0.9855355,0.0001532652,0.01367144,0.00005659719,0.00002808707,0.00001765377,0.0001808059,0.00002305502,0.0003335805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9256763,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116702798076976,"score_gpt":0.2119197092452121,"score_spread":0.0002494294375144923,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}